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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FYN is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
59.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
58.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
28.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
18.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
17.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
17.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
16.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
12.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
10.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
10.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
9.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
9.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
8.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
8.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
8.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
7.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
5.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
4.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
4.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FYN is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.7
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
124.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
99.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
94.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
93.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
92.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
92.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
92.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
90.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
86.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
85.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
85.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
83.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
81.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
80.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
77.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
76.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
74.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
70.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
66.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
66.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
64.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
62.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
57.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
50.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
47.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
46.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
45.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
42.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
41.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
38.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
32.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
32.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
31.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
31.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
31.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
31.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
29.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
29.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
27.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
27.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
27.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
27.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
26.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
26.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
26.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
24.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
24.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
24.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
24.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
24.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
24.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
24.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
23.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
23.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
22.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
22.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
22.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
22.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
22.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
22.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
21.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
21.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
21.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
21.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
21.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
21.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
21.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
20.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
20.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
20.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
20.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
20.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
20.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
20.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
19.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
19.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
19.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
19.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
19.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
18.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
18.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
18.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
17.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
17.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
17.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
17.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
17.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
17.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
17.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
16.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
16.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
16.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
16.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
16.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
16.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
16.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
16.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
15.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
15.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
14.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
14.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
14.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
13.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
13.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
12.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
12.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
12.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
12.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
12.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
12.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
11.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
11.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
11.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
10.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
10.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
9.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
8.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
8.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
8.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
8.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
6.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FYN is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
28.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
15.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
10.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
8.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
6.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
5.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
5.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
5.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FYN is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
31.1
Number of samples
207
Samples
Sample
Description
TPM
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
90.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
71.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
70.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
69.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
69.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
68.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
26.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
26.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
26.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
26.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
24.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
24.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
23.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
23.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
23.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
22.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
22.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
22.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
22.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
22.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
21.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
21.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
21.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
21.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
20.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
20.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
20.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
20.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
19.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
19.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
19.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
19.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
19.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
18.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
18.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
18.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
18.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
18.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
17.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
17.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
16.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
16.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
16.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
15.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
15.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
15.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
15.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
13.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
13.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
13.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
12.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
8.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
7.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
